Examples of using Machine-learning in English and their translations into Slovak
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A robust cloud and set of machine-learning solutions;
Its machine-learning software lets the company predict customer behavior.
Companies are always looking to improve machine-learning technologies.
Many open-source and proprietary machine-learning systems support the types of predictions described above, and they have been around for years.
But even this is small-scale compared to what is now being done with machine-learning algorithms.
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Last year, Google launched RankBrain, a machine-learning system that will sort search results.
A machine-learning algorithm created at Carnegie Mellon was able to predict heart attacks four hours in advance with 80% accuracy.
Capsule networks aim to remedy a weakness of today's machine-learning systems that limits their effectiveness.
In initial tests, a machine-learning algorithm created at Carnegie Mellon was able to predict heart attacks four hours in advance, with 80% accuracy.
For more than two years,Google has been developing RankBrain, the machine-learning AI system that helps in processing the search results.
Thanks to artificial intelligence and machine-learning tools for structured data extraction and automated language processing(NLP), Nettle AI's solutions can autonomously resolve a broad range of challenging problems.
Text vectorisation: The process of converting words,sentences or entire documents into numeric vectors so that machine-learning algorithms can use these.
However, their combined effect within the machine-learning model could identify an African-American cohort that had five times increased risk of death.”.
On Thursday, researchers at Google Brain released a paper on the preprint siteArxiv showing how they trained a set of machine-learning algorithms to predict molecules' smell based on their.
The new system was built using a machine-learning technique called deep learning, which has become pervasive in computing companies but is less established in the natural sciences.
Optimizing for AI is essentially optimizing for humans,since the goal of a machine-learning algorithm is to make predictions similar to those of humans.
In simulated trials of 50 patients, the machine-learning model designed treatment cycles that reduced the potency to a quarter or half of nearly all the doses while maintaining the same tumor-shrinking potential.
And the climatic values are used to fit a model that estimates the similarity of the climate in any location to climatic conditions at known occurrence locations,using a machine-learning algorithm such as MaxEnt(19).
We were very surprised to find that height came up from our machine-learning analyses," says co-first study author Alyssa Flores, a Stanford University medical student.
Instagram announced a set of new features to limit bullying and“spread kindness,” including comment filters on live videos,a“kindness camera effect to spread positivity,” and the deployment of machine-learning technology to better detect bullying in photos.
They all provide SDKs(software developer kits)and APIs that allow you to embed machine-learning functionality directly into applications, and they support most programming languages.
The machine-learning process entailed more than 600 hours in which Royal Caribbean and a team of musicians and technologists reviewed hundreds of music tracks along with 10,000 photos, matching each of the 2.5 million combinations to one of 11 moods.
Nothing in this announcement limits WhatsApp's right to enforce its Terms using technology,such as banning accounts based on machine-learning classifiers, and WhatsApp will continue to do so.”.
FlightAware's ELDTs are optimized by machine-learning models, which are the premier product of the company's state-of-the-art predictive technology program announced earlier this year.
Navin Shenoy, who oversees Intel's data center group, told Reuters in an interview that each set of chips is designed to solve a different problem,whether it is helping cars drive themselves or training machine-learning algorithms in data centers.
Mead believes ALS is ripe for AI and machine-learning because of the rapid expansion in genetic information about the condition and the fact there are good test-tube and animal models to evaluate drug candidates.
Beyond offering unified QC and monitoring solutions, Interra Systems plays a larger role in the digital mediasolutions space through innovations in artificial intelligence(AI) and machine-learning(ML) techniques, which will also be highlighted at the show.
Current trends of computerised testinghave increased by applying artificial intelligence and machine-learning(AI/ML), in order to provide advanced options for optimisation testing, intelligence generated testing, processing and reporting.
Thanks to our machine-learning approach, we not only validate the role of personality in explaining eye movement in everyday life, but also reveal new eye movement characteristics as predictors of personality traits,” explains neuropsychologist Tobias Loetscher from the University of South Australia.